Yuyuan Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 35

Top Topics

Semantic Segmentation

Top Venues

Medical Image Anal.

Publications

Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos A. Peña-Solórzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations. Medical Image Anal. 96 (2024)
Ruqiang Guo, Linjie Liu, Yuyuan Liu, Liang Zhang
Evolution of trust in the N-player trust game with the margin system. Appl. Math. Comput. 473 (2024)
Hu Wang, Congbo Ma, Yuyuan Liu, Yuanhong Chen, Yu Tian, Jodie Avery, Louise Hull, Gustavo Carneiro
Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities. CoRR (2024)
Yuanhong Chen, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation. CoRR (2024)
Yuyuan Liu, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation. CoRR (2024)
Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. ICCV (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. CoRR (2023)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Mengyu Wang, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-Augmented Multi-level Cross-Attentional Masked Autoencoder. MLMI@MICCAI (2) (2023)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. ICCV (2023)
Fengbei Liu, Yuanhong Chen, Chong Wang, Yuyuan Liu, Gustavo Carneiro
Generative Noisy-Label Learning by Implicit Dicriminative Approximation with Partial Label Prior. CoRR (2023)
Yuanhong Chen, Yuyuan Liu, Hu Wang, Fengbei Liu, Chong Wang, Gustavo Carneiro
A Closer Look at Audio-Visual Semantic Segmentation. CoRR (2023)
Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Learning Support and Trivial Prototypes for Interpretable Image Classification. ICCV (2023)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Self-supervised pseudo multi-class pre-training for unsupervised anomaly detection and segmentation in medical images. Medical Image Anal. 90 (2023)
Yuanhong Chen, Yuyuan Liu, Chong Wang, Michael Elliott, Chun Fung Kwok, Carlos Pe na-Solorzano, Yu Tian, Fengbei Liu, Helen Frazer, Davis J. McCarthy, Gustavo Carneiro
BRAIxDet: Learning to Detect Malignant Breast Lesion with Incomplete Annotations. CoRR (2023)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. ECCV (39) (2022)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CVPR (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan W. Verjans, Gustavo Carneiro
Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. CoRR (2022)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. CVPR (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. CoRR (2022)
Yu Tian, Guansong Pang, Yuyuan Liu, Chong Wang, Yuanhong Chen, Fengbei Liu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder. CoRR (2022)
Yuanhong Chen, Hu Wang, Chong Wang, Yu Tian, Fengbei Liu, Yuyuan Liu, Michael Elliott, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation. MICCAI (3) (2022)
Yuyuan Liu, Yu Tian, Chong Wang, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Translation Consistent Semi-supervised Segmentation for 3D Medical Images. CoRR (2022)
Yu Tian, Guansong Pang, Fengbei Liu, Yuyuan Liu, Chong Wang, Yuanhong Chen, Johan Verjans, Gustavo Carneiro
Contrastive Transformer-Based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection. MICCAI (3) (2022)
Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. CoRR (2022)
Chong Wang, Yuanhong Chen, Yuyuan Liu, Yu Tian, Fengbei Liu, Davis J. McCarthy, Michael Elliott, Helen Frazer, Gustavo Carneiro
Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models. MICCAI (3) (2022)
Yuanhong Chen, Fengbei Liu, Yu Tian, Yuyuan Liu, Gustavo Carneiro
Semantic-guided Image Virtual Attribute Learning for Noisy Multi-label Chest X-ray Classification. CoRR (2022)
Fengbei Liu, Yuanhong Chen, Yu Tian, Yuyuan Liu, Chong Wang, Vasileios Belagiannis, Gustavo Carneiro
NVUM: Non-volatile Unbiased Memory for Robust Medical Image Classification. MICCAI (3) (2022)
Yu Tian, Leonardo Zorron Cheng Tao Pu, Yuyuan Liu, Gabriel Maicas, Johan W. Verjans, Alastair D. Burt, Seon-Ho Shin, Rajvinder Singh, Gustavo Carneiro
Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning. CoRR (2021)
Yu Tian, Fengbei Liu, Guansong Pang, Yuanhong Chen, Yuyuan Liu, Johan W. Verjans, Rajvinder Singh, Gustavo Carneiro
Multi-centred Strong Augmentation via Contrastive Learning for Unsupervised Lesion Detection and Segmentation. CoRR (2021)
Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro
ACPL: Anti-curriculum Pseudo-labelling forSemi-supervised Medical Image Classification. CoRR (2021)
Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes. CoRR (2021)
Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. CoRR (2021)
Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Photoshopping Colonoscopy Video Frames. ISBI (2020)
Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Z. C. T. Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro
Photoshopping Colonoscopy Video Frames. CoRR (2019)
Jin Chen, Zhi Lyu, Yuyuan Liu, Jiayang Huang, Guigang Zhang, Jian Wang, Xi Chen
A Big Data Analysis and Application Platform for Civil Aircraft Health Management. BigMM (2016)